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Solutions Support Engineer (L5) - Security, Privacy and Assurance
Poland - Remote
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Remote
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Full-time
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2mo ago
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
About the Engineering Enablement Team
As part of the Infrastructure organization, the Engineering Enablement team helps scale Netflix’s engineering efficiency by improving how developers interact with core platform capabilities. We act as a central source of technical insight: collaborating directly with engineers, analyzing platform behaviors, identifying cross-cutting patterns, and partnering with platform teams to drive meaningful improvements.
We focus on strengthening developer workflows, optimizing platform usability, expanding paved-road tooling, and improving documentation and developer education. Our work combines hands-on technical investigation with platform-level influence.
Our Mission
Enable Netflix engineers to move quickly and confidently by improving their experience with the platform and by providing high-quality technical guidance across platform domains.
Our culture is unique, and we tend to live by our values, allowing you to do your best work and grow.
The Role
We are seeking a Support Solutions Engineer with an interest in security infrastructure and tooling, support, and automation. In this role, you will take ownership of complex security and privacy investigations, working through them end to end by navigating ambiguity, validating technical hypotheses, and providing clear, pragmatic guidance that helps engineering teams move forward efficiently.
You will look beyond individual requests to identify systemic gaps and opportunities for improvement, turning recurring questions and failure modes into durable engineering assets. This includes designing and evolving automation, internal tools, documentation, and runbooks that scale knowledge and decision-making, influence how security and privacy are embedded into engineering workflows, and raise the reliability and effectiveness of our systems at scale.
Working Model
This role is remote, with the option to work from our Warsaw office for in-person collaboration or onboarding as needed. You will work closely with teams across EMEA and the US/Canada, with core hours for this role set at 12:00–20:00 CET.
What you’ll need to be successful:
Technical Mastery
Experience supporting and troubleshooting enterprise identity and authentication systems (e.g., Okta, SCIM, OIDC/OAuth2, SAML 2.0, FIDO2/WebAuthn) at scale, including expertise in passwordless authentication, phishing-resistant MFA, and device posture validation
Background in supporting distributed cloud applications and securing cloud infrastructure
Proficiency with security platforms and tools (e.g., SIEM, SOAR, EDR, vulnerability management, IAM, secrets management)
Skills in at least one modern programming language (e.g., Java, Python, Go), with hands-on experience in log analysis, incident response, and access management investigations
Understanding of best practices in authentication, authorization, access management, and security monitoring
Analytical & Problem-Solving Skills
Ability to adapt to changing situations, navigate ambiguity, and manage investigations from start to finish
Analytical mindset with a data-driven approach to identifying root causes, recurring issues, and recommending effective solutions for partner teams
Interest in understanding how security products and platforms interact, and in leveraging engineering signals to drive improvements
Ownership & Execution
Ability to work independently, taking ownership of investigations from discovery through resolution
Commitment to enhancing operational efficiency through automation, visualization, and process improvement
Collaboration & Communication
Effective written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences and contribute to documentation
Experience collaborating across distributed teams to deliver actionable insights and recommendations
Developer & Partner Empathy
Understanding of developer workflows and partner team needs, with a focus on improving user experience and operational outcomes
Nice to Have
Experience building internal automation tooling or dashboards
Background in designing or maintaining security or operational efficiency infrastructure
Contributions to knowledge bases, documentation, or technical education
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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About Netflix

Netflix
PublicAn online streaming platform that enables users to watch TV shows and movies.
10,001+
Employees
Los Gatos
Headquarters
$280B
Valuation
Reviews
4.2
15 reviews
Work Life Balance
4.2
Compensation
4.5
Culture
3.2
Career
3.8
Management
3.0
65%
Recommend to a Friend
Pros
Very high compensation packages (430k-700k)
Fully remote work opportunities
All cash compensation structure
Cons
Lower compensation than expected in some cases
Difficult interview process
Simple/uninteresting technical problems
Salary Ranges
1,869 data points
Mid/L4
Mid/L4 · Analytics Engineer
7 reports
$274,996
total / year
Base
$211,536
Stock
-
Bonus
-
$274,996
$358,605
Interview Experience
4 interviews
Difficulty
4.0
/ 5
Offer Rate
25%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Behavioral Interview
6
Team Matching
7
Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
News & Buzz
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